LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to...

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LINKEDIN RESEARCH PROJECT REPORT Adrian Adamson

Transcript of LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to...

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LINKEDIN RESEARCH PROJECT REPORT

Adrian Adamson

David Carpenter

Marketing Research Darren McIlvaire

MKTG 3511 Sec 003 Musa Njie

May 7, 2014 Nathan Krinsky

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TABLE OF CONTENTS

Table of Contents………………………………………………………………..………. Page 1

Executive Summary………………………………………………………………..……. Page 2

Introduction…………………………………………………………………...……. Pages 2 - 3

Research Methodology & Survey Information……………………………..…….. Pages 3 - 6

➢ Secondary Research……………………………………………………..………… Page 3

➢ Exploratory Research………………………………………………..…………….. Page 4

➢ Survey Administration……………………………………………………………. Page 5

➢ Sample…………………………………………………………...……………. Pages 5 - 6

Research Results & Data Analysis……………………………………….……….. Pages 7 - 19

➢ Univariate Analysis & Interpretation………...……………………………... Pages 7 - 15

➢ Multivariate Analysis & Interpretation…………………………………..... Pages 15 - 19

Research Project Limitations……………………………………………..………….. Page 20

Research Conclusions & Recommendations………………………………...…... Page 20 - 21

What we Learned……………………………………………………………………… Page 21

Appendices………………………………………………………………………... Pages 22 - 76

➢ Data Collection Form.…………………………………………………...… Page 22 - 23

➢ Completed Questionnaires……………………………………………....… Pages 24 – 31

➢ SPSS Data Files…………………………….………………….……….….. Pages 32 - 76

➢ Bibliography………………………………………………………………...…… Page 77

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Executive Summary

The objective of our research was to measure the correlation between LinkedIn and internship

placement among students. We accomplished this task using the following steps:

Created clearly defined and measurable research objectives

Routine group meetings to establish progression, thoughts, and concerns

Completion of survey and administration via Qualtrics

Used SPSS software to determine significance levels among variables

Analyzed and interpreted univariate and multivariate statistics to help explain

relationships and/or correlations between variables

Used secondary and exploratory research to compare and contrast survey design,

research objectives, and findings

Clearly defined limitations pre and post survey administration

Reached conclusions via interpretation of the data

Highlighted learning curve and things to be changed in the future

Included sources and bibliography

Introduction

The purpose of our study was to find out if LinkedIn can truly help students find

internships. To determine if this was the case, we created an online survey using Qualtrics and

distributed it via email to as many juniors and seniors at Temple University as we could in the

time we had. Next, we carefully created a set research objectives to help keep our information

focused. These objectives are:

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To find out how much social networking really contributes to Internship placement.

Identify the correlation between LinkedIn and securing an internship.

Analyze the relationship between the amount of LinkedIn connections and a student’s

ability to find an internship before graduation

We then established three hypotheses to test with the results from our survey. These

hypotheses are as follows:

➢ 1. There is a correlation between the amount of connections a student has on LinkedIn

and the likelihood of them finding an internship before graduation.

➢ 2. There is a significant correlation between a student’s perception of how effective

LinkedIn is during the internship search process and securing an internship before

graduation.

3. There is a relationship between how often a student uses LinkedIn and finding an

internship before graduation.

We used SPSS software to analyze and interpret our survey results and answer our proposed

questions. After the data analysis was complete we were able to compare our data to

secondary data we had previously collected, and determine that both our collected data and

the secondary data agreed. By doing this we were able to determine whether or not LinkedIn

can be a useful tool for students trying to secure an internship.

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RESEARCH METHODOLOGY & SURVEY INFORMATION

Secondary Research:

We conducted secondary research to learn about our topic on LinkedIn further and

whether it helps college students gain internships.  We used three scholarly sources which

include a CNN Money article “How LinkedIn Will Fire Up your Career,” a newsletter from

Wesleyan University on Career Connections, and a case study of workplace use of Facebook and

LinkedIn from the University of Washington.  Through our secondary research we have found

that in this day and age companies are relying on LinkedIn to help them find talent during the

recruiting process.  According to John Campagnino, head of global Recruiting for Accenture, the

main reason for his company using LinkedIn to recruit 40% of their future hires is that “it makes

for cheaper, faster and more effective recruiting for employers.  This is the future of recruiting

for our company.”  Through our research we have found that many statistics agree with Mr.

Campagnino.  According to our source, when social Networks Cross Boundaries: A Case Study

of Workplace Use of Facebook and LinkedIn, “94% of recruiters use LinkedIn to vet candidates

and 89% of all recruiters report having hired someone through LinkedIn at some point in time.

73% of recruiters filled a position using Linked in 2012 which is a 15% increase from 2011.”

These statistics show how helpful LinkedIn can be in obtaining an internship and or job and how

the use of LinkedIn from recruiters is increasing dramatically.  LinkedIn provides students and

recent grads with thousands of internships and entry level jobs.  According to a Newsletter from

Wesleyan University, “Employers who used LinkedIn to hire found a 49% improvement in

candidate quality over candidates sourced only through traditional recruiting channels.”   A

recruiter in the same article exclaimed, “I don’t know what we did before LinkedIn happened.”

We have found through our research that in this day and age companies are relying more and

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more on sites like LinkedIn to help them find the right talent.  Our secondary research gave us

the information necessary for us to make an effective survey to conduct our exploratory research.

Exploratory Research: For a copy of our survey see appendix Data Collection Form

After conducting our secondary research we decided to conduct some research of our

own.  We decided that Junior and Senior Temple student’s would be the best sample to pull from

considering that they are the majority age group looking to obtain internships and are close to

graduation, after which they will be looking to obtain jobs.  We developed a survey using

Qualtrics and had a little over 50 respondents.  We asked questions to these applicants such as

“has LinkedIn every helped you obtain an internship.”  Because of Time constraints we didn’t

get as many quality responses as we had hoped for.  Also through our secondary and exploratory

research we have found that LinkedIn is more beneficial and friendly to graduates and people

looking for jobs rather than internships.  Given more time we would have conducted other ways

to get our survey out other than just sending out a mass email.  One method we thought could

have been effective was to stand out front of the CSPD office, because odds are the students

visiting this office are probably more likely to have LinkedIn because they are serious with their

future careers. Our results from our exploratory research will be analyzed further in this paper.

Survey Administration:

We created a survey using Qualtrics and sent it out via email to as many Temple business

students as we could. We chose this survey method for multiple reasons.  First of all, using

Qualtrics was a very easy way to distribute the survey opposed to printing it out and handing it

out to people who would most likely just throw it away or ignore it.  It saved our respondents a

lot of time by simply clicking the web link and taking two-three minutes to fill it out.  It also

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saved time on the research end because Qualtrics was able to easily tally our results in SPSS so

that we could make our conclusions without having to go through each individual survey one by

one.  Furthermore, the survey administration was very cost friendly.  We did not have to pay or

incentivize anyone to come in for an interview and we saved money on distribution and printing

costs by having it online.

Sample Information:

Our sampling framework was built by surveying temple students and more specifically,

Fox Business students.  Anyone was welcome to take our survey but we found that the biggest

sample was juniors and seniors in the fox school because for the most part these are the students

that are experimenting with LinkedIn accounts and trying to find an internship before graduation.

We also took into consideration that the business world is about building connections through

networking so we thought that this survey would be most relevant to business students since this

has proven to be a very effective way of creating connections and landing students jobs and

internships.  Our sample ended up being comprised of 52 business students, all of which were

juniors and seniors.  44 of our respondents made it past the first question but then only 19 of

them got past question two.  The biggest reason for the drop off could be one of two things.

Either people do not have a LinkedIn account because they have had success finding internships

through resources like FoxNet and Google or simply people become bored with the survey and

choose not to finish.

RESEARCH RESULTS & DATA ANALYSIS

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Univariate Analysis & Interpretation: For each variable in our survey, total of 20 variables.

SPSS outputs are available in the appendix.

Variable 1: Q.1 - Do you have a LinkedIn account? Yes/No

a.) Summary of Results: This question was answered by all 52 of our Survey

Respondents, 44 selected yes, and 8 selected No as their response. If the respondent selected No

as their response, this was the end of their survey.

b.) Interpretation of Results: We asked, as our first question, if the respondent has a

LinkedIn account, if they said no, this was the end of their survey. 44 of the 52 respondents, 84.6

%, selected yes and were able to continue with the survey. The 8 of 52, or 15.4 %, who selected

no were thanked for their participation and were finished.

Variable 2: Q.2 - Do you actively use LinkedIn? Yes/No

a.) Summary of Results: This was a precursor question and was answered by 41 of the

remaining 44 respondents. Unfortunately for us and the concreteness of our data, 19 of this 41

selected yes, and 22 selected no. Only respondents who selected yes as the answer to this

question moved on to complete the rest of our survey.

b.) Interpretation of Results: Our second question, also a precursor question, asked the

respondent, do you actively use LinkedIn? Of the 44 People who moved past question 1, 19 of

them said yes, 22 said No, and 3 were missing, meaning that 3 respondents stopped taking the

survey after question 1. The 19 of 41 valid respondents, or 46.3 %, moved on to complete the

rest of the survey.

Variable 3: Q.3 - Approximately how many followers (connections) do you have on LinkedIn?

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a.) Summary of Results: This was the first non-precursor question in our survey.

Respondents were given three choices to choose from; 0-50, 50-100, and 100+. All 19 remaining

respondents answered this question. 12 responded 0-50, 4 responded 50-100, and 3 responded

100+.

b.) Interpretation of Results: This variable was a very important to our research question

and hypotheses, as it will be used to test one of our hypotheses later in the report. 12 of 19

respondents answered 0-50 connections, or 63.2%, 4 of 19 respondents answered 50-100

connections, or 21.1%, and 3 respondents answered 100+ connections, or 15.8%. This leads us to

believe that most college students have a lower amount of LinkedIn connections.

Variable 4: Q.4 - In the past month, how many connections have you made on LinkedIn?

a.) Summary of Results: Respondents were given three answers to choose from; 0, 0-10,

and 10+. Answers were recorded as 1, 15, and 3 respectively.

b.) Interpretation of Results: When asked how many connections they’ve made in the past

month, of the 19 respondents only 1 answered 0, or validly 5.3%, 15 answered 0-10, valid

78.9%, and 3 answered 10+, or a valid 15.8%. As it is the end of the semester, we take these

results as semester long networking paying off.

Variable 5: Q.5 - Do you consider LinkedIn Connections to be valid, real world connections?

Yes/No

a.) Summary of Results: This question was a yes or no answer. 15 respondents selected

yes and 4 selected no, resulting in the mode, or most frequent answer, being yes.

b.) Interpretation of Results: 15 of 19 respondents, a valid percent of 78.9%, selected yes

while only 4 of 19, or 21.1% selected no. This question was asking the respondents opinion, and

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the answer is obvious, most college students in our target group view LinkedIn connections to be

valid, real world connections. This result is important in helping us better understand how

LinkedIn is viewed by some of its users.

Variable 6: Q.19 - What do you use LinkedIn for most? Nominal, fill in the blank.

a.) Summary & Interpretation of Results: We asked the respondents to tell us what they

use LinkedIn for the most, and we gave them the option to write whatever they wanted as an

answer, a nominal measurement, fill in the blank type of question. We only had a few

occurrences of two respondents write the same thing, their responses were ‘Networking,’ ‘jobs,’

‘job search(ing),’ and ‘internships.’ We wanted to find out what our respondents used LinkedIn

for most to help identify if LinkedIn is a good tool to find an internship.

Variable 7: Q.6 - Has anyone ever offered you an internship via LinkedIn? Yes/No

a.) Summary of Results: This question was a yes or no answer format, 7 respondents

answered yes while 12 answered no. The most frequently chosen answer was No.

b.) Interpretation of Results: 7 of 19, 36.8%, respondents answered yes to this question,

while 12 of 19 respondents, 63.2%, answered no. We were looking to find out if any respondents

were ever offered an internship via LinkedIn to try and answer some of our research questions

about any correlation between LinkedIn and internships. This result makes us lean towards the

possibility that LinkedIn is not the place to find an internship, but to get a definitive answer more

analysis is required.

Variable 8: Q.7 - Have you ever searched LinkedIn for Internships? Yes/No

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a.) Summary of Results: This question was given in yes or no answer format. 15

respondents selected yes, and 4 selected no, as such the mode answer to this question is yes.

b.) Interpretation of Results: 15 of 19 respondents, 78.9%, answered yes to this question

while 4 of 19, 21.1%, have answered no. The question is self-defining; we were trying to see

how many of our respondents have ever used LinkedIn to search for an internship. The results

further our suspicion that LinkedIn is not the proper tool for finding an internship, though more

analysis is required.

Variable 9: Q.8 - How many times do you use LinkedIn per Month?

a.) Summary of Results: This question is a scale type question with three possible

responses, 1-3, 3-10, and 10+. The frequencies of responses were 5, 9, and 5 respectively.

b.) Interpretation of Results: 5 of 19 respondents said they use LinkedIn 1-3 times per

month, validly 26.3%, 9 of 19 respondents answered 3-10 times per month, 47.4%, and 5 of 19,

26.3%, responded that they use LinkedIn 10+ times per month. These results, where 3-10 times

per month is the most frequently chosen, will be used to find a correlation, if any, between

securing an internship and the amount a student uses LinkedIn per month.

Variable 10: Q.9 - What percentage of your collegiate friends use LinkedIn?

a.) Summary of Results: There were 4 possible answers to this question, 1-10%, 10-25%,

25-50%, and 50%+. The respective frequencies of responses we observed were 3, 4, 6, and 6.

The most frequent chosen answers were 25-50% and 50%+.

b.) Interpretation of Results: 3 of 19 respondents, a valid 15.8%, told us that between 1-

10% of their collegiate friends use LinkedIn, 4 of 19, 21.1%, told us between 10-25% of their

collegiate friends use LinkedIn, 6 of 19 respondents, 31.6%, told us between 25-50% of their

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collegiate friends use LinkedIn, and 6 of 19 respondents, also 31.6%, told us that more than 50%

of their collegiate friends use LinkedIn. We observe from these results that most of our

respondents, 63.2%, say that between 25% and more than 50% of their collegiate friends use

LinkedIn.

Variable 11: Q.10 - Do you believe LinkedIn helps young professionals find internships?

Yes/No

a.) Summary of Results: This question again uses a yes or no answer format. The results

of this question are significantly more definitive than past questions though, 17 respondents

selected yes while only 2 selected no. Obviously the most frequent response was yes.

b.) Interpretation of Results: 17 of 19 respondents, a valid percentage of 89.5%, answered

yes to this question while only 2 of 19, or 10.5%, answered no. These results tell us we can

almost definitively say that the perception of our target population is that LinkedIn does indeed

help young professionals find internships.

Variable 12: Q.11 - Where do you consider the best place to find an internship?

a.) Summary & Interpretation of Results: This question was a nominal, fill in the blank

type of answer question, so we got a variety of different responses from people. No two

respondents submitted the exact same answer, so we will not include this data in any further

analysis we compute. A few of the responses we received were; LinkedIn - mentioned three

times, Foxnet - mentioned six times, the internet, networking, and personal connections. We can

conclude from the results of this question that our respondents believe Foxnet to be the best place

to find an internship.

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Variable 13: Q.12 - Was your account created entirely voluntarily? Yes/No

a.) Summary of Results: The respondents were given two answers to choose from, yes or

no. 11 participants chose yes, while 8 chose no. Yes was the most frequent response for this

question.

b.) Interpretation of Results: 11 of 19 respondents, 57.9%, told us that yes, their LinkedIn

account was created entirely voluntarily while 8 of 19, 42.1%, told us the opposite, that no their

LinkedIn account was not created entirely voluntarily. While we did not ask the reason their

account was not created entirely voluntarily, we can still observe that more than half of our

respondents did indeed create their LinkedIn accounts voluntarily.

Variable 14: Q.13 - Is your profile complete and up-to-date? Yes/No

a.) Summary of Results: Respondents were asked if their LinkedIn profile is complete

and up-to-date, they were given two responses, yes and no. 15 respondents said yes their profile

is complete and up to date while 4 respondents said no, their profile is not complete and up-to-

date.

b.) Interpretation of Results: 15 of 19 respondents, 78.9% valid, told us that their profile

is complete and up-to-date while 4 of 19, 21.1%, told us the opposite, that their profile is not

complete and up-to-date. We can interpret these results and say most of our respondents have a

complete and up-to-date LinkedIn profile. These results can be used to answer the question of a

complete and up-to-date LinkedIn profile increasing the chances of finding an internship.

Variable 15: Q.14 - Have you completed an Internship? Yes/No

a.) Summary of Results: Respondents selected yes or no as an answer to the question

‘Have you completed an Internship?’ 11 respondents selected yes while 8 selected no.

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b.) Interpretation of Results: 11 of 19 respondents, 57.9% valid, told us they have

completed an internship and 8 of 19, 42.1% told us they have no completed an internship. These

results are interesting but alone cannot tell us anything about our research question. We will

likely not use these results in further comparisons

Variable 16: Q.15 - Have you secured an Internship before Graduating? Yes/No

a.) Summary of Results: This question is one that will be used to test all of our

hypotheses, and as such the results are more important to our study. 13 respondents answered yes

and only 6 answered no. The most frequent response was yes.

b.) Interpretation of Results: 13 of 19 respondents, 68.4%, told us they have secured an

internship before graduating and 6 of 19, 31.6%, told us they have not. These results tell us that

the majority of our respondents have secured an internship before graduating, and one could

infer that they counter the results of some of our previous variables. That however is not the

case, the majority of our respondents have secured an internship, yes, but the question we must

ask now whether it was the result of using LinkedIn or not.

Variable 17: Q.16 - Do you intend to complete an internship before graduation? Yes/No

a.) Summary of Results: Again, respondents were given a yes or no format. This time

however, all 19 respondents selected yes.

b.) Interpretation of Results: 100% of valid respondents selected yes as their answer to

this question. These results are important because we can now compare the amount of

respondents who intend on completing an internship to other variables, using this as a base. It

will help us get more concrete answers to correlations between variables by serving as an extra

comparable variable.

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Variable 18: Q.17 - Have you ever applied for an internship? Yes/No

a.) Summary of Results: Again we gave respondents the choice between yes and no as

answers. 16 respondents answered yes, they have applied for an internship before while 3

answered no they have never before applied for an internship.

b.) Interpretation of Results: 16 of 19 respondents, 84.2%, told us they have applied for

an internship in the past and only 3 of 19, 15.8% of respondents, told us they have not. This is an

important variable to our research because we will be able to compare the respondents who have

applied for an internship; to those who intend on completing one, to those who intend on

completing an internship, or even to those who have secured an internship.

Variable 19: Q.18 - In which order do you value these tools for finding an internship?

Rank/Order

a.) Summary of Results: This question was presented as a rank order question with 4

options. The respondents were asked to put the four options; Fox’s CSPD department, LinkedIn,

The Internet, and personal connections, in the order in which they value them most.

b.) Interpretation of Results: Overall, our respondents ordered these options in this order;

Fox’s CSPD department was first, personal connections second, LinkedIn third, and the Internet

fourth. This question gives us some insight on how our respondents feel about LinkedIn’s value

as a tool for finding an internship when compared to some other tools for the same purpose. The

results of this question will likely not make it into further analyses.

Variable 20: Q.20 - In your opinion, how effective is LinkedIn during the internship search

process?

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a.) Summary of Results: The respondents were given a scale with 4 points to measure

perceived effectiveness of LinkedIn during the internship search process. The scale points were;

Ineffective, Neither effective nor ineffective, Effective, and Very effective. The frequencies of

responses were 2, 5, 9, and 3 respectively.

b.) Interpretation of Results: We observed that 2 of 19 or 10.5% of respondents said they

perceive LinkedIn as ineffective during the internship search process, 5 of 19, 26.3%, responded

that LinkedIn is neither effective nor ineffective during the process, 9 of 19 respondents, 47.4%,

told us they perceive LinkedIn as effective during the search process and 3 of 19, 15.8%,

respondents say LinkedIn is very effective during the internship search process. These results

give us insight to the perceived effectiveness of LinkedIn during the internship search process

and will be an ideal variable to use to help answer our research questions.

Multivariate Analysis & Interpretation: Using only variables that will help decide our

hypotheses.

Hypotheses & Analyses

➢ 1. There is a correlation between the amount of connections a student has on LinkedIn

and the likelihood of them finding an internship before graduating.

Approximately how many followers do you have on LinkedIn? * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

Total

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Yes No

Approximately how many

followers do you have on

LinkedIn?

0-50 7 5 12

50-100 3 1 4

100+ 3 0 3

Total 13 6 19

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.030a 2 .362

Likelihood Ratio 2.900 2 .235

Linear-by-Linear Association 1.902 1 .168

N of Valid Cases 19

Interpretation of Analysis: We perform a cross tabs test with Chi-Squared tests on the two

variables, variable 3 and 16. This will tell us the correlation, if there is one, between the amount

of connections a student has on LinkedIn and if they have found an Internship before graduating.

We observe, as we previously did, of the 19 respondents responding to the three choices for

variable 3; 12 respondents selected 0-50, 4 selected 50-100, and 3 selected 100+. Of the 12

respondents selecting 0-50, 7 (58.33%) said they have secured an internship before graduating

while 5 (41.66%) said they did not. Of the 4 students who selected the response 50-100

connections, 3 (75%) said they have secured an internship before graduating while 1 (25%) did

not. And finally, all of the 3 (100%) respondents who selected 100+ connections said that they

have secured an internship. These results tell us that there is a positive correlation between these

two variables, according to our results the more LinkedIn connections a student has will lead to a

better likelihood of them finding an internship before graduation. Before we conclude our

analysis of this data, we must look at the Chi-Squared tests to see how significant the correlation

really is. To find if the correlation is significant, we look at the Pearson Chi-Squared row,

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significance column. The value here is (.362), and to be considered statistically significant, we

were looking for a significance level of less than (.050). We reject our hypothesis because there

is no statistically significant correlation between these two variables.

➢ 2. There is a significant correlation between a student’s perception of how effective

LinkedIn is during the internship search process and securing an internship before

graduating.

In your opinion, how effective is LinkedIn during the internship search process * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

TotalYes No

In your opinion, how effective

is LinkedIn during the

internship search process

Ineffective 2 0 2

Neither Effective nor

Ineffective4 1 5

Effective 5 4 9

Very Effective 2 1 3

Total 13 6 19

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.927a 3 .588

Likelihood Ratio 2.510 3 .473

Linear-by-Linear Association 1.116 1 .291

N of Valid Cases 19

Interpretation of Analysis: Again we perform a cross tabs with Chi-Squared test on these two

variables, variable 20 and 16. This will identify the correlation, assuming one exists, between a

students perceived effectiveness of LinkedIn during the internship search process and if they

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have secured an internship before graduating. We know from previous analysis that more

students perceive LinkedIn to be effective than do not. There were four responses to choose from

in variable 20, the two students who told us they perceive LinkedIn as ineffective both have

secured an internship before graduating. Of the five students who answered that LinkedIn is not

ineffective nor effective, 4 (80%) have secured an internship and 1 (20%) did not. Of the 9

students who told us they perceive LinkedIn as an effective resource in the internship search

process, 5 (55.56%) have secured an internship before graduating and 4 (44.44%) did not. Of the

three students who perceive LinkedIn as very effective, 2 (66%) have secured an internship

before graduating and 1 (33%) has not. These results tell us that there is no correlation between

the perceived effectiveness of LinkedIn during the internship search process and actually

securing an internship before graduating. As proof, we look at the Pearson Chi-Squared

significance level of (.588) which tells us that there is certainly no significant correlation

between these two variables, and as such we reject our hypothesis.

➢ 3. There is a relationship between how often a student uses LinkedIn and finding an

internship before graduation.

How many times do you use LinkedIn per month? * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

TotalYes No

How many times do you use

LinkedIn per month?

1-3 4 1 5

3-10 7 2 9

10+ 2 3 5

Total 13 6 19

Chi-Square Tests

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Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.544a 2 .280

Likelihood Ratio 2.430 2 .297

Linear-by-Linear Association 1.754 1 .185

N of Valid Cases 19

Interpretation of Analysis: To answer the question posed by our hypothesis we have performed

a cross tabs with chi-squared test of the two variables, variable 9 and 16. Variable 9 asks how

many times per month does the student use LinkedIn, and gives three possible responses. Of the

5 students who use LinkedIn 1-3 times per month, 4 (80%) have secured an internship before

graduating and 1 (20%) did not. 7 of the 9 (77.78%) students responding 3-10 times per month

told us they have secured an internship before graduating, and 2 (22.22%) said they did not. And

of the 5 students who told us they use LinkedIn 10 or more times per month, 2 (40%) said they

have secured an internship while 3 (60%) said they have not. As the data appears, there is no

visible correlation between these two variables. We look at the Pearson Chi-Squared test

significance level to see if there is or is not a statistically significant correlation between the

amount a student uses LinkedIn per month and if they have secured an internship before

graduating. The significance level is (.280) which is obviously not (.050) or lower, so we

determine that there is no significant correlation. We reject Hypothesis 3 and can say that there is

no statistically significant correlation between these two variables.

Research Project Limitations:

Our first limitation was the survey design due to our lack of experience.  We had

excessive nominal questions and we could have perhaps collected more specific data through

19

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question variance.  It seemed as though our questions were a little redundant.  Time constraints

was probably our biggest restraint.  We sent out our survey and had it live for about one week

which really did not give students a lot of time to take it especially since it was during finals

week for most students.  Time constraints tie into our final restraint which was a small sample

size.  Due to the lack of time allotted for students to take the survey, the sample was small.  We

only had 52 respondents and of that only 19 got past question 2.  If we were to conduct research

like this again we would have the survey active for at least a month to accumulate more

responses for a more accurate conclusion.

Conclusions & Recommendations:

After reviewing the results we find that there is no significant correlation between any of

the variables. The relationship that reflects the strongest significance is in the amount that a

student uses LinkedIn per month and his or her ability to secure and internship before graduation

(.280). Students’ perception of LinkedIn’s effectiveness in receiving and internship had the

weakest significance among the variables tested (.588). In conclusion, we accept all null

hypotheses, and look to our secondary research to reinforce our results. The secondary research

shows that there is a much stronger correlation between LinkedIn and job placement rather than

getting an internship. Our recommendations to students seeking an internship is not to rule out

using LinkedIn as it is an effective tool, but to focus their efforts on other resources. When

asking students what they find to be most useful in variable 12 question 11, they said university

resources like FoxNet (6 respondents) and CSPD to be more useful in aiding the internship

process. Students also included things like the Internet, personal connections, and networking.

Ideally we would have had more respondents take the survey to solidify our results; however,

20

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because our research aligns closely with our secondary sources we feel as if our research is

accurate.

What We Learned:

Our team progressed well through our project, making impromptu decisions and honing

our research objectives. We learned that for our research project we were much better off with

less opinion based questions. After factually basing a majority of our survey we were able to

work with more accurate significance levels. We changed our chi square analysis to reflect

mode instead of mean. Looking back we would not use an opinion based skip-logic question.

By using this opinion based question (variable 2 question 2), we turned away 22 of our

remaining 41 respondents. Although we were satisfied with our results, more time could have

been spent on making the survey in the beginning of the semester. Just like most of the groups in

our Market Research class, any of us could have benefitted from more respondents. Overall we

responded to problems with accuracy and in an expedited nature, so our learning curve provided

insightful and beneficial outcomes.

APPENDICES:

Data Collection Form:

LinkedIn Survey distributed via Qualtrics

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Q1 Do you have a LinkedIn account? Yes (1) No (2)If No Is Selected, Then Skip to End of Survey

Q2 Do you actively use LinkedIn? Yes (1) No (2)If No Is Selected, Then Skip To End of Survey

Q3 Approximately how many followers do you have on LinkedIn? 0-50 (1) 50-100 (2) 100+ (3)

Q4 In the past month, how many connections have you made on LinkedIn? 0 (1) 0-10 (2) 10+ (3)

Q5 Do you consider your LinkedIn connections to be valid, real world connections? Yes (1) No (2)

Q19 What do you use LinkedIn for most?

Q6 Has anyone ever offered you an internship via LinkedIn? Yes (1) No (2)

Q7 Have you ever searched LinkedIn for internships? Yes (1) No (2)

Q8 How many times do you use LinkedIn per month? 1-3 (1) 3-10 (2) 10+ (3)

Q9 What percentage of your collegiate friends use LinkedIn? 0% (1) 1-10% (2) 10-25% (3) 25-50% (4) 50%+ (5)

Q10 Do you believe LinkedIn helps young professionals find internships? Yes (1) No (2)

Q11 Where do you consider the best place to find an internship?

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Q12 Was your account created entirely voluntarily? Yes (1) No (2)

Q13 Is your profile complete and up to date? Yes (1) No (2)

Q14 Have you completed an internship? Yes (1) No (2)

Q15 Have you secured an internship before graduation? Yes (1) No (2)

Q16 Do you intend to complete and internship before graduation? Yes (1) No (2)

Q17 Have you ever applied for an internship? Yes (1) No (2)

Q18 In which order do you value these tools for finding an internship?______ Fox's CSPD department (1)______ LinkedIn (2)______ The Internet (3)______ Personal Connections (4)

Q20 In your opinion, how effective is LinkedIn during the internship search process Very Ineffective (1) Ineffective (2) Neither Effective nor Ineffective (3) Effective (4) Very Effective (5)

Completed Questionnaires – results by question

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1. Do you have a LinkedIn account?# Answer Response %1 Yes 44 85%2 No 8 15%

Total 52 100%

Statistic ValueMin Value 1Max Value 2Mean 1.15Variance 0.13Standard Deviation 0.36Total Responses 52

2. Do you actively use LinkedIn?# Answer Response %1 Yes 19 46%2 No 22 54%

Total 41 100%

Statistic ValueMin Value 1Max Value 2Mean 1.54Variance 0.25Standard Deviation 0.50Total Responses 41

3. Approximately how many followers do you have on LinkedIn?# Answer Response %1 0-50 12 63%2 50-100 4 21%3 100+ 3 16%

Total 19 100%

Statistic ValueMin Value 1Max Value 3Mean 1.53Variance 0.60Standard Deviation 0.77Total Responses 19

24

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4. In the past month, how many connections have you made on LinkedIn?

# Answer Response %1 0 1 5%2 0-10 15 79%3 10+ 3 16%

Total 19 100%

Statistic ValueMin Value 1Max Value 3Mean 2.11Variance 0.21Standard Deviation 0.46Total Responses 19

5. Do you consider your LinkedIn connections to be valid, real world connections?

# Answer Response %1 Yes 15 79%2 No 4 21%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19

25

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6. What do you use LinkedIn for most?Text ResponseMaking connextionsFinding jobs outside of Philadelphiastaying connectedsearching for internship positionsinternshipsNetworkingjob searchingjobsCompany Information/Employee look upConnectionsJob searchJobsUpdating my online "resume" and also finding out about employers and finding out what kinds of articles they are sharing or releasing.Learn about companies and research professionals.To network and meet more businss professionalsTo obtain up-to-date industry news.Making as many conncections as possibleNetworking

Statistic ValueTotal Responses 18

7. Has anyone ever offered you a internship via LinkedIn?# Answer Response %1 Yes 7 37%2 No 12 63%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.63Variance 0.25Standard Deviation 0.50Total Responses 19

8. Have you ever searched LinkedIn for internships?# Answer Response %1 Yes 15 79%2 No 4 21%

Total 19 100%

26

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Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19

9. How many times do you use LinkedIn per month?# Answer Response %1 1-3 5 26%2 3-10 9 47%3 10+ 5 26%

Total 19 100%

Statistic ValueMin Value 1Max Value 3Mean 2.00Variance 0.56Standard Deviation 0.75Total Responses 19

10. What percentage of your collegiate friends use LinkedIn?# Answer Response %1 0% 0 0%2 1-10% 3 16%3 10-25% 4 21%4 25-50% 6 32%5 50%+ 6 32%

Total 19 100%

Statistic ValueMin Value 2Max Value 5Mean 3.79Variance 1.18Standard Deviation 1.08Total Responses 19

27

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11. Do you believe LinkedIn helps young professionals find internships?

# Answer Response %1 Yes 17 89%2 No 2 11%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.11Variance 0.10Standard Deviation 0.32Total Responses 19

12. Where do you consider the best place to find an internship?Text ResponseFox net or LinkedInFamily connectionsCSPD at templeLinkedInFoxnetfoxnetCraig's ListFoxNet, personal connectionsThe internetNot the best, but one of the best places. As a Fox a Student, I used Fox Net.Temples experience netThrough networking person to person.networking eventsLinkedIn group discussion boards.Each company's official website.Online through programs like foxnet and linked in. Also word of mouth from these connections you make on LinkedinThrough previous connections

Statistic ValueTotal Responses 17

28

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13. Was your account created entirely voluntarily?# Answer Response %1 Yes 11 58%2 No 8 42%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.42Variance 0.26Standard Deviation 0.51Total Responses 19

14. Is your profile complete and up to date?# Answer Response %1 Yes 15 79%2 No 4 21%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.21Variance 0.18Standard Deviation 0.42Total Responses 19

15. Have you completed an internship?# Answer Response %1 Yes 11 58%2 No 8 42%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.42Variance 0.26Standard Deviation 0.51Total Responses 19

29

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16. Have you secured an internship before graduation?# Answer Response %1 Yes 13 68%2 No 6 32%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.32Variance 0.23Standard Deviation 0.48Total Responses 19

17. Do you intend to complete and internship before graduation?

# Answer Response %1 Yes 19 100%2 No 0 0%

Total 19 100%

Statistic ValueMin Value 1Max Value 1Mean 1.00Variance 0.00Standard Deviation 0.00Total Responses 19

18. Have you ever applied for an internship?# Answer Response %1 Yes 16 84%2 No 3 16%

Total 19 100%

Statistic ValueMin Value 1Max Value 2Mean 1.16Variance 0.14Standard Deviation 0.37Total Responses 19

30

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19. In which order do you value these tools for finding an internship?

# Answer 1 2 3 4 Total Responses

1 Fox's CSPD department 7 5 3 3 18

2 LinkedIn 2 5 9 2 183 The Internet 3 3 3 9 18

4 Personal Connections 6 5 3 4 18

Total 18 18 18 18 -

Statistic Fox's CSPD department LinkedIn The Internet Personal

ConnectionsMin Value 1 1 1 1Max Value 4 4 4 4Mean 2.11 2.61 3.00 2.28Variance 1.28 0.72 1.41 1.39Standard Deviation 1.13 0.85 1.19 1.18

Total Responses 18 18 18 18

20. In your opinion, how effective is LinkedIn during the internship search process

# Answer Response %1 Very Ineffective 0 0%2 Ineffective 2 11%

3Neither Effective nor Ineffective

5 26%

4 Effective 9 47%5 Very Effective 3 16%

Total 19 100%

Statistic ValueMin Value 2Max Value 5Mean 3.68Variance 0.78Standard Deviation 0.89Total Responses 19

SPSS Outputs:

31

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FREQUENCIES VARIABLES=Q1 /STATISTICS=STDDEV MEAN MEDIAN MODE /ORDER=ANALYSIS.

Notes

Output Created 06-MAY-2014 12:13:40

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q1

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.06

Frequencies

Notes

Output Created 06-MAY-2014 12:14:38

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

32

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Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q1

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/PIECHART PERCENT

/ORDER=ANALYSIS.

Resources Processor Time 00:00:02.09

Elapsed Time 00:00:01.29

Statistics

Do you have a LinkedIn account?

N Valid 52

Missing 0

Mean 1.15

Median 1.00

Mode 1

Std. Deviation .364

Do you have a LinkedIn account?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 44 84.6 84.6 84.6

No 8 15.4 15.4 100.0

Total 52 100.0 100.0

33

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FREQUENCIES VARIABLES=Q2 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q2 /PIECHART PERCENT /ORDER=ANALYSIS.

Frequencies

Notes

34

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Output Created 06-MAY-2014 12:16:18

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q2

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q2

/PIECHART PERCENT

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.17

Elapsed Time 00:00:00.14

Statistics

Do you actively use LinkedIn?

N Valid 41

Missing 11

Mean 1.54

Median 1.54a

Mode 2

Std. Deviation .505

a. Calculated from grouped data.

Do you actively use LinkedIn?

Frequency Percent Valid Percent

Cumulative

Percent

35

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Valid Yes 19 36.5 46.3 46.3

No 22 42.3 53.7 100.0

Total 41 78.8 100.0

Missing System 11 21.2

Total 52 100.0

FREQUENCIES VARIABLES=Q3 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q3 /PIECHART PERCENT /ORDER=ANALYSIS.

36

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Frequencies

Notes

Output Created 06-MAY-2014 12:17:03

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q3

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q3

/PIECHART PERCENT

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.17

Elapsed Time 00:00:00.19

Statistics

Approximately how many followers

do you have on LinkedIn?

N Valid 19

Missing 33

Mean 1.53

Median 1.44a

Mode 1

Std. Deviation .772

37

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a. Calculated from grouped data.

Approximately how many followers do you have on LinkedIn?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 0-50 12 23.1 63.2 63.2

50-100 4 7.7 21.1 84.2

100+ 3 5.8 15.8 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

38

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FREQUENCIES VARIABLES=Q4 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q4 /PIECHART PERCENT /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:17:40

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q4

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q4

/PIECHART PERCENT

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.16

Elapsed Time 00:00:00.14

39

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Statistics

In the past month, how many

connections have you made on

LinkedIn?

N Valid 19

Missing 33

Mean 2.11

Median 2.11a

Mode 2

Std. Deviation .459

a. Calculated from grouped data.

In the past month, how many connections have you made on LinkedIn?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 0 1 1.9 5.3 5.3

0-10 15 28.8 78.9 84.2

10+ 3 5.8 15.8 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

40

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FREQUENCIES VARIABLES=Q5 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q5 /PIECHART PERCENT /ORDER=ANALYSIS.

Frequencies

Notes

41

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Output Created 06-MAY-2014 12:18:17

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q5

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q5

/PIECHART PERCENT

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.14

Elapsed Time 00:00:00.14

Statistics

Do you consider your LinkedIn

connections to be valid, real world

connections?

N Valid 19

Missing 33

Mean 1.21

Median 1.21a

Mode 1

Std. Deviation .419

a. Calculated from grouped data.

Do you consider your LinkedIn connections to be valid, real world connections?

42

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Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 15 28.8 78.9 78.9

No 4 7.7 21.1 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q19 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q19 /ORDER=ANALYSIS.

43

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Frequencies

Notes

Output Created 06-MAY-2014 12:18:34

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q19

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q19

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Warnings

Text: Q19 Command: FREQUENCIES

This procedure cannot use string variables longer than 8 bytes. The values will be

truncated.

Statistics

44

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What do you use LinkedIn for

most?

N Valid 52

Missing 0

What do you use LinkedIn for most?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 34 65.4 65.4 65.4

Company

Information/Employee look

up

1 1.9 1.9 67.3

Connections 1 1.9 1.9 69.2

Finding jobs outside of

Philadelphia1 1.9 1.9 71.2

internships 1 1.9 1.9 73.1

Job search 1 1.9 1.9 75.0

job searching 1 1.9 1.9 76.9

jobs 1 1.9 1.9 78.8

Jobs 1 1.9 1.9 80.8

Learn about companies and

research professionals.1 1.9 1.9 82.7

Making as many

conncections as possible1 1.9 1.9 84.6

Making connextions 1 1.9 1.9 86.5

Networking 2 3.8 3.8 90.4

searching for internship

positions1 1.9 1.9 92.3

staying connected 1 1.9 1.9 94.2

To network and meet more

businss professionals1 1.9 1.9 96.2

To obtain up-to-date industry

news.

1 1.9 1.9 98.1

45

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Updating my online "resume"

and also finding out about

employers and finding out

what kinds of articles they

are sharing or releasing.

1 1.9 1.9 100.0

Total 52 100.0 100.0

FREQUENCIES VARIABLES=Q6 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q6 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:19:12

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q6

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q6

/ORDER=ANALYSIS.

46

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Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

Has anyone ever offered you a

internship via LinkedIn?

N Valid 19

Missing 33

Mean 1.63

Median 1.63a

Mode 2

Std. Deviation .496

a. Calculated from grouped data.

Has anyone ever offered you a internship via LinkedIn?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 7 13.5 36.8 36.8

No 12 23.1 63.2 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q7 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q7 /ORDER=ANALYSIS.

Frequencies

47

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Notes

Output Created 06-MAY-2014 12:20:10

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q7

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q7

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.02

Statistics

Have you ever searched LinkedIn

for internships?

N Valid 19

Missing 33

Mean 1.21

Median 1.21a

Mode 1

Std. Deviation .419

a. Calculated from grouped data.

Have you ever searched LinkedIn for internships?

48

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Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 15 28.8 78.9 78.9

No 4 7.7 21.1 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q8 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q8 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:20:20

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

49

Page 51: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Syntax FREQUENCIES VARIABLES=Q8

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q8

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

How many times do you use

LinkedIn per month?

N Valid 19

Missing 33

Mean 2.00

Median 2.00a

Mode 2

Std. Deviation .745

a. Calculated from grouped data.

How many times do you use LinkedIn per month?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 1-3 5 9.6 26.3 26.3

3-10 9 17.3 47.4 73.7

10+ 5 9.6 26.3 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q9 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q9 /ORDER=ANALYSIS.

50

Page 52: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Frequencies

Notes

Output Created 06-MAY-2014 12:20:29

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q9

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q9

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

What percentage of your collegiate

friends use LinkedIn?

N Valid 19

Missing 33

Mean 3.79

Median 3.90a

Mode 4b

Std. Deviation 1.084

51

Page 53: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

a. Calculated from grouped data.

b. Multiple modes exist. The

smallest value is shown

What percentage of your collegiate friends use LinkedIn?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 1-10% 3 5.8 15.8 15.8

10-25% 4 7.7 21.1 36.8

25-50% 6 11.5 31.6 68.4

50%+ 6 11.5 31.6 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q10 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q10 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:20:37

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

52

Page 54: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q10

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q10

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.02

Statistics

Do you believe LinkedIn helps

young professionals find

internships?

N Valid 19

Missing 33

Mean 1.11

Median 1.11a

Mode 1

Std. Deviation .315

a. Calculated from grouped data.

Do you believe LinkedIn helps young professionals find internships?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 17 32.7 89.5 89.5

No 2 3.8 10.5 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

53

Page 55: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

FREQUENCIES VARIABLES=Q11 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q11 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:20:52

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q11

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q11

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Warnings

54

Page 56: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Text: Q11 Command: FREQUENCIES

This procedure cannot use string variables longer than 8 bytes. The values will be

truncated.

Statistics

Where do you consider the best

place to find an internship?

N Valid 52

Missing 0

Where do you consider the best place to find an internship?

Frequency Percent Valid Percent

Cumulative

Percent

Valid 35 67.3 67.3 67.3

Craig's List 1 1.9 1.9 69.2

CSPD at temple 1 1.9 1.9 71.2

Each company's official

website.1 1.9 1.9 73.1

Family connections 1 1.9 1.9 75.0

Fox net or LinkedIn 1 1.9 1.9 76.9

foxnet 1 1.9 1.9 78.8

Foxnet 1 1.9 1.9 80.8

FoxNet, personal

connections1 1.9 1.9 82.7

LinkedIn 1 1.9 1.9 84.6

LinkedIn group discussion

boards.1 1.9 1.9 86.5

networking events 1 1.9 1.9 88.5

Not the best, but one of the

best places. As a Fox a

Student, I used Fox Net.

1 1.9 1.9 90.4

55

Page 57: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Online through programs like

foxnet and linked in. Also

word of mouth from these

connections you make on

Linkedin

1 1.9 1.9 92.3

Temples experience net 1 1.9 1.9 94.2

The internet 1 1.9 1.9 96.2

Through networking person

to person.1 1.9 1.9 98.1

Through previous

connections1 1.9 1.9 100.0

Total 52 100.0 100.0

FREQUENCIES VARIABLES=Q12 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q12 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:21:08

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

56

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Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q12

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q12

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.02

Statistics

Was your account created entirely

voluntarily?

N Valid 19

Missing 33

Mean 1.42

Median 1.42a

Mode 1

Std. Deviation .507

a. Calculated from grouped data.

Was your account created entirely voluntarily?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 11 21.2 57.9 57.9

No 8 15.4 42.1 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q13 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q13 /ORDER=ANALYSIS.

57

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Frequencies

Notes

Output Created 06-MAY-2014 12:21:18

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q13

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q13

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

Is your profile complete and up to

date?

N Valid 19

Missing 33

Mean 1.21

Median 1.21a

Mode 1

58

Page 60: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Std. Deviation .419

a. Calculated from grouped data.

Is your profile complete and up to date?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 15 28.8 78.9 78.9

No 4 7.7 21.1 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q14 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q14 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:21:28

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

59

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Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q14

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q14

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

Have you completed an

internship?

N Valid 19

Missing 33

Mean 1.42

Median 1.42a

Mode 1

Std. Deviation .507

a. Calculated from grouped data.

Have you completed an internship?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 11 21.2 57.9 57.9

No 8 15.4 42.1 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q15 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q15 /ORDER=ANALYSIS.

60

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Frequencies

Notes

Output Created 06-MAY-2014 12:21:39

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q15

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q15

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.01

Statistics

Have you secured an internship

before graduation?

N Valid 19

Missing 33

Mean 1.32

Median 1.32a

Mode 1

61

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Std. Deviation .478

a. Calculated from grouped data.

Have you secured an internship before graduation?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 13 25.0 68.4 68.4

No 6 11.5 31.6 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q16 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q16 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:21:49

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

62

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Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q16

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q16

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.03

Statistics

Do you intend to complete and

internship before graduation?

N Valid 19

Missing 33

Mean 1.00

Median .a

Mode 1

Std. Deviation .000

a. Calculated from grouped data.

Do you intend to complete and internship before graduation?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 19 36.5 100.0 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q17 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q17 /ORDER=ANALYSIS.

63

Page 65: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Frequencies

Notes

Output Created 06-MAY-2014 12:22:00

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax FREQUENCIES VARIABLES=Q17

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q17

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.03

Statistics

Have you ever applied for an

internship?

N Valid 19

Missing 33

Mean 1.16

Median 1.16a

Mode 1

Std. Deviation .375

64

Page 66: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

a. Calculated from grouped data.

Have you ever applied for an internship?

Frequency Percent Valid Percent

Cumulative

Percent

Valid Yes 16 30.8 84.2 84.2

No 3 5.8 15.8 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

FREQUENCIES VARIABLES=Q18_1 Q18_2 Q18_3 Q18_4 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q18_1 Q18_2 Q18_3 Q18_4 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:22:23

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

65

Page 67: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Syntax FREQUENCIES VARIABLES=Q18_1

Q18_2 Q18_3 Q18_4

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q18_1 Q18_2 Q18_3

Q18_4

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.03

Elapsed Time 00:00:00.03

Statistics

In which order

do you value

these tools for

finding an

internship?-Fox's

CSPD

department

In which order

do you value

these tools for

finding an

internship?-

LinkedIn

In which order

do you value

these tools for

finding an

internship?-The

Internet

In which order

do you value

these tools for

finding an

internship?-

Personal

Connections

N Valid 18 18 18 18

Missing 34 34 34 34

Mean 2.1111 2.6111 3.0000 2.2778

Median 1.9167a 2.6429a 3.2500a 2.1250a

Mode 1.00 3.00 4.00 1.00

Std. Deviation 1.13183 .84984 1.18818 1.17851

a. Calculated from grouped data.

Frequency Table

In which order do you value these tools for finding an internship?-Fox's CSPD

department

Frequency Percent Valid Percent

Cumulative

Percent

66

Page 68: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Valid 1.00 7 13.5 38.9 38.9

2.00 5 9.6 27.8 66.7

3.00 3 5.8 16.7 83.3

4.00 3 5.8 16.7 100.0

Total 18 34.6 100.0

Missing System 34 65.4

Total 52 100.0

In which order do you value these tools for finding an internship?-LinkedIn

Frequency Percent Valid Percent

Cumulative

Percent

Valid 1.00 2 3.8 11.1 11.1

2.00 5 9.6 27.8 38.9

3.00 9 17.3 50.0 88.9

4.00 2 3.8 11.1 100.0

Total 18 34.6 100.0

Missing System 34 65.4

Total 52 100.0

In which order do you value these tools for finding an internship?-The Internet

Frequency Percent Valid Percent

Cumulative

Percent

Valid 1.00 3 5.8 16.7 16.7

2.00 3 5.8 16.7 33.3

3.00 3 5.8 16.7 50.0

4.00 9 17.3 50.0 100.0

Total 18 34.6 100.0

Missing System 34 65.4

Total 52 100.0

In which order do you value these tools for finding an internship?-Personal

Connections

67

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Frequency Percent Valid Percent

Cumulative

Percent

Valid 1.00 6 11.5 33.3 33.3

2.00 5 9.6 27.8 61.1

3.00 3 5.8 16.7 77.8

4.00 4 7.7 22.2 100.0

Total 18 34.6 100.0

Missing System 34 65.4

Total 52 100.0

FREQUENCIES VARIABLES=Q20 /STATISTICS=STDDEV MEAN MEDIAN MODE /GROUPED=Q20 /ORDER=ANALYSIS.

Frequencies

Notes

Output Created 06-MAY-2014 12:23:12

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on all cases with

valid data.

68

Page 70: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

Syntax FREQUENCIES VARIABLES=Q20

/STATISTICS=STDDEV MEAN

MEDIAN MODE

/GROUPED=Q20

/ORDER=ANALYSIS.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Statistics

In your opinion, how effective is

LinkedIn during the internship

search process

N Valid 19

Missing 33

Mean 3.68

Median 3.71a

Mode 4

Std. Deviation .885

a. Calculated from grouped data.

In your opinion, how effective is LinkedIn during the internship search process

Frequency Percent Valid Percent

Cumulative

Percent

Valid Ineffective 2 3.8 10.5 10.5

Neither Effective nor

Ineffective5 9.6 26.3 36.8

Effective 9 17.3 47.4 84.2

Very Effective 3 5.8 15.8 100.0

Total 19 36.5 100.0

Missing System 33 63.5

Total 52 100.0

69

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Notes

Output Created 06-MAY-2014 12:28:19

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each table are based on all

the cases with valid data in the specified

range(s) for all variables in each table.

Syntax CROSSTABS

/TABLES=Q3 BY Q15

/FORMAT=AVALUE TABLES

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.01

Dimensions Requested 2

Cells Available 131029

END OF UNIVARIATE ANALYSISBEGINNING OF MULTIVARIATE ANALYSIS

CROSSTABS /TABLES=Q3 BY Q15

70

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/FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 06-MAY-2014 12:29:00

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each table are based on all

the cases with valid data in the specified

range(s) for all variables in each table.

Syntax CROSSTABS

/TABLES=Q3 BY Q15

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.05

Dimensions Requested 2

Cells Available 131029

71

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Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Approximately how many

followers do you have on

LinkedIn? * Have you

secured an internship before

graduation?

19 36.5% 33 63.5% 52 100.0%

Approximately how many followers do you have on LinkedIn? * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

TotalYes No

Approximately how many

followers do you have on

LinkedIn?

0-50 7 5 12

50-100 3 1 4

100+ 3 0 3

Total 13 6 19

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.030a 2 .362

Likelihood Ratio 2.900 2 .235

Linear-by-Linear Association 1.902 1 .168

N of Valid Cases 19

a. 5 cells (83.3%) have expected count less than 5. The minimum

expected count is .95.

CROSSTABS /TABLES=Q20 BY Q15

72

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/FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 06-MAY-2014 12:30:10

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each table are based on all

the cases with valid data in the specified

range(s) for all variables in each table.

Syntax CROSSTABS

/TABLES=Q20 BY Q15

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.01

Dimensions Requested 2

Cells Available 131029

73

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Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

In your opinion, how effective

is LinkedIn during the

internship search process *

Have you secured an

internship before graduation?

19 36.5% 33 63.5% 52 100.0%

In your opinion, how effective is LinkedIn during the internship search process * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

TotalYes No

In your opinion, how effective

is LinkedIn during the

internship search process

Ineffective 2 0 2

Neither Effective nor

Ineffective4 1 5

Effective 5 4 9

Very Effective 2 1 3

Total 13 6 19

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 1.927a 3 .588

Likelihood Ratio 2.510 3 .473

Linear-by-Linear Association 1.116 1 .291

N of Valid Cases 19

a. 7 cells (87.5%) have expected count less than 5. The minimum

expected count is .63.

74

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CROSSTABS /TABLES=Q8 BY Q15 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT /COUNT ROUND CELL.

Crosstabs

Notes

Output Created 06-MAY-2014 12:31:25

Comments

Input Data C:\Users\Nathan\LinkedIn_Survey.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File52

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics for each table are based on all

the cases with valid data in the specified

range(s) for all variables in each table.

Syntax CROSSTABS

/TABLES=Q8 BY Q15

/FORMAT=AVALUE TABLES

/STATISTICS=CHISQ

/CELLS=COUNT

/COUNT ROUND CELL.

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.00

Dimensions Requested 2

Cells Available 131029

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Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

How many times do you use

LinkedIn per month? * Have

you secured an internship

before graduation?

19 36.5% 33 63.5% 52 100.0%

How many times do you use LinkedIn per month? * Have you secured an

internship before graduation? Crosstabulation

Count

Have you secured an internship

before graduation?

TotalYes No

How many times do you use

LinkedIn per month?

1-3 4 1 5

3-10 7 2 9

10+ 2 3 5

Total 13 6 19

Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson Chi-Square 2.544a 2 .280

Likelihood Ratio 2.430 2 .297

Linear-by-Linear Association 1.754 1 .185

N of Valid Cases 19

a. 5 cells (83.3%) have expected count less than 5. The minimum

expected count is 1.58.BIBLIOGRAPHY

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Page 78: LinkedIn Research Report.docx - community.mis.temple.edu€¦  · Web viewUsed SPSS software to determine significance levels among variables Analyzed and interpreted univariate

EXPERT, CAREER. "Beyond the Bubble." Career Center, Illinois Wesleyan University,

"January 2010 Newsletter"

Hempel, Jessi. "How LinkedIn will fire up your career." FORTUNE Magazine (2010).

Skeels, Meredith M., and Jonathan Grudin. "When social networks cross boundaries: a case

study of workplace use of facebook and linkedin." Proceedings of the ACM 2009

international conference on Supporting group work. ACM, 2009.

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